Data Engineer in Fort Mill, South Carolina at AccruePartners

Date Posted: 10/30/2019

Job Snapshot

Job Description

THE TEAM YOU WILL BE JOINING:

  • Leader in the automotive and aerospace industry with the manufacturing of OEM and Industrial OEM
  • Technology focused organization who is on the cutting edge of manufacturing automation/digitization
  • North American Division near $2.5bil with a much larger global footprint

WHAT THEY OFFER:

  • Team leadership is very open to new ideas including tool/technology selection
  • This is a dispersed team, but a very cohesive unit
  • North American Leadership team is tenured and pushes for their employees to have the best possible work environment

WHERE THIS POSITION IS LOCATED:

  • Fort Mill, SC

WHAT YOU WILL DO:

  • Responsible for data pipeline design to support data analytic initiatives and Independent design and implementation of data pipelines
  • Plan and execute work to capture, prepare, store, transform, and deliver data according to team
  • Close collaboration and coordination with business departments, digitization and IT functions
  • Identification of available and relevant data, including internal and external data sources
  • Perform data cleansing, quality assessment, pre-processing in order to verify the integrity of data used for analysis
  • Translate and visualize data into information and insights with clear scenario analysis and business impact and execution plan to drive impact
  • Lead discovery processes with stakeholders to identify opportunities for leveraging company data to drive business solutions on manufacturing technology, product development and other business processes

QUALIFICATIONS:

  • Bachelor of Computer Science or related field
  • 2+ years of experience in Software Development or Database development
  • Must be proficient in SQL
  • Must have knowledge of at least on Programming Language (Python, R or Java)
  • Must have experience working with Cloud Environments (Azure preferably)
  • Experience with Data Modelling and Data Integration/ETL is a strong plus
  • Experience with any of the following is a strong plus: Hadoop Ecosystem (Spark/Hive/HDFS), Containers (Docker/Kubernetes), Databases (e.g., MS SQL Server, PostgreSQL, MongoDB, Stardog), Data Visualization (Tableau, PowerBI)
  • Solid knowledge of statistical techniques
  • Experience with relevant quantitative and qualitative research and analytics
  • Understanding of machine learning techniques and algorithms, such as GLM (general linear model), Clustering (K-nearest-neighbor), Naïve Bayes, SVM, Decision Tree/Random Forests, etc.